Principal Software Engineer

Job Description:

• Provide technical feasibility analysis and solution evaluation for data and analytics initiatives based on business, operational, and regulatory needs.
• Lead the design and implementation of scalable data engineering solutions, including data pipelines, data models, data integrations, and analytics-ready data products.
• Provide technical leadership for data architecture, ETL and ELT design, code reviews, performance tuning, production support, and issue resolution.
• Guide the modernization of legacy data and reporting platforms, including migration from traditional ETL and reporting tools to modern cloud data platforms and transformation frameworks.
• Design and oversee data pipelines using cloud-based technologies, Python, Spark, SQL, and related orchestration and transformation tools.
• Support enterprise analytics platforms, including data warehouse, reporting, semantic layer, and business intelligence environments.
• Partner with data analysts, data engineers, business stakeholders, architects, product owners, and technology partners to translate business needs into resilient data solutions.
• Define and execute the technical roadmap for data engineering, analytics enablement, platform modernization, data quality, and automation.
• Establish and promote engineering standards, reusable patterns, coding guidelines, testing practices, data quality controls, and documentation expectations.
• Collaborate with architecture, security, infrastructure, governance, and business teams to ensure data solutions are secure, reliable, scalable, and aligned with enterprise standards.
• Mentor engineers and technical team members, supporting skill development in cloud data engineering, data modeling, analytics engineering, and modern data platform practices.
• Support AI/ML enablement by ensuring data pipelines, curated datasets, and feature-ready data assets are reliable, governed, and suitable for advanced analytics and machine learning use cases.
• Stay informed about emerging trends in data engineering, cloud, analytics, AI/ML, and automation to support continuous improvement and technical innovation.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, Engineering, or equivalent training and experience.
• 12 or more years of experience in software engineering, data engineering, analytics engineering, or enterprise data platform development.
• Proven experience designing, developing, and maintaining complex data solutions involving multiple systems, stakeholders, business domains, and production dependencies.
• Strong experience with Python, SQL, distributed data processing, and ETL and ELT development.
• Experience with cloud-based data platforms and services, including development, deployment, monitoring, and operational support of data solutions.
• Strong understanding of data modeling, data warehousing, data quality, metadata management, data lineage, performance optimization, and production support practices.
• Working knowledge of AI/ML concepts and the data engineering practices required to support advanced analytics, machine learning, and model-ready datasets.
• Proven ability to design data solutions that integrate with internal and external systems while meeting security, governance, scalability, and reliability requirements.
• Deep understanding of software development and data engineering practices in a distributed team environment, including version control, testing, CI/CD, release management, and operational monitoring.
• Excellent problem-solving, analytical, communication, and stakeholder management skills.
• Proven ability to collaborate effectively, mentor technical team members, and influence engineering direction across teams.

Benefits:

• Medical, dental, vision and life insurance
• Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
• Paid volunteer time - 16 hours per calendar year
• Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
• Business Resource Groups (BRGs) - BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.